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The paper seeks to highlight the challenges facing the aviation industry in the need to better understand and predict operational risk. It looks at the types of data available to improve the understanding of risk and discusses the need to bring it together using a common risk dasiacurrencypsila. The relationships between the different types of data are briefly addressed in regard to both understanding...
As unmanned aerial vehicle (UAV) applications become more complex and versatile there is an increasing need to allow multiple UAVs to cooperate to solve problems which are beyond the capability of each individual UAV. To provide more complete and accurate information about the environment we present a DyKnow federation framework for information integration in multi-node networks of UAVs. A federation...
It has been shown that sensor networks and data fusion are effective in providing an accurate operational picture, even in jammed environments. However, a weakness with methods based on data from several sensors is that there is not always data available from all the sensors all the time. In such cases fusion can not be performed with good results, leading to difficulties in detecting true objects...
We study basic properties related to the task of localizing a source using distance-difference measurements to it. These properties are related to minimalistic realizations of localization systems in terms of the number of sensors and computational complexity. We first establish conditions for unique identification of a source in Euclidean plane. We then derive the minimum number of sensors needed...
Detecting unknown worms is a challenging task. We propose an innovative technique for detecting the presence of an unknown worm based on the computer measurements extracted from the operating system. We designed an experiment to test the new technique employing several computer configurations and background applications activity. During the experiments 323 computer features were monitored. Four feature...
Assessing and monitoring events and their impacts continues to present multiple challenges. From financial markets to disaster management to epidemiology, the importance of understanding the impacts that events create cannot be understated. This work describes an approach that incorporates information from multiple sources and then analyzes the overall information flow to identify temporal patterns...
Recent cyber security research has focused on providing a situation awareness of computer networks by identifying incoming attacks. FuSIA: Future Situation and Impact Awareness seeks to extend this situation awareness via estimating plausible futures of ongoing attacks. Plausible futures, derived based on current progress of attacks, are projected situations that computer security analysts may use...
This paper presents a command and control (C2) agents approach to supporting tactical decision making by operational commanders. The work addresses two C2 issues: the use of networked information sharing and high-level information fusion to allow for the visualisation of highly anisotropic threat spaces, and associated route planning for a variety of effects based tasks taking into account a commanderpsilas...
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